Hello, We're pleased to announce: OpenOpt v 0.19, free (license: BSD) optimization framework (written in Python language) with connections to lots of solvers (some are C- or Fortran-written) is released. Changes since previous release 0.18 (June 15, 2008): * Some changes for NLP/NSP solver ralg (especially related to handling linear constraints Ax <= b, Aeq x = beq, lb <= x <= ub) * Bugfix for ralg and IPOPT linear constraints handling * ALGENCAN v 2.0.x has been connected (v 1.0 is no longer supported, v 2.0.3 or later is required) * Bugfix for constrained NLSP graphic output (constrained nssolve isn't turned to latest ralg version yet) * Scale parameter for lpSolve (p.scale = {False} | True | 0 | 1) * New OO class LLAVP (linear least absolute values aka linear least deviations) * Improved handling of non-linear functions with restricted dom * GLP (global) solver galileo now can handle integer problems (via p.useInteger = 1 or True) * Another one GLP (global) solver connected: pswarm * Lots of work related to oofun concept (see OO Doc page for details) * Add converters llsp2nlp, llavp2nsp * Convenient handling of maximization problems (via p.goal = 'max' or 'maximum') * Some code clean up and bugfixes Backward incompatibility: * Changed objective function in LLSP * MATLAB-style gradtol renamed to gtol (for to provide same syntax to scipy.optimize fmin_bfgs, fmin_cg and less-to-type) Newsline: http://openopt.blogspot.com/ Homepage: http://scipy.org/scipy/scikits/wiki/OpenOpt Regards, OpenOpt developers.